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      The Shattered Document approach to adaptive hypertext. Design and evaluation

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          Abstract

          We address the problem of improving, automatically, the usability of a large online document. We propose an adaptive hypertext approach, based on splitting the document into components smaller than the page or screen, called noogramicles, and creating each page as a new assemblage of noogramicles each time it is accessed. The adaptation comes from learning the navigation patterns of the usors (authors and readers), and is manifested in the assemblage of pages. We test this model across a number of configurations, including chance and non-adaptive systems. We evaluate our model through simulation. We have designed a simulator based on established findings about the behaviour of hypertext users. We have realised a quantitative evaluation based on hypertext usability measures adapted to the problem: session size, session cost.

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          Author and article information

          Journal
          ISU
          Information Services and Use
          IOS Press (Nieuwe Hemweg 6B, 1013 BG Amsterdam, The Netherlands )
          0167-5265
          2013
          : 33
          : 2 , Mining the Digital Information Networks
          : 63-72
          Affiliations
          [1]LIAAD-INESC TEC, Porto, Portugal. E-mail: amado.alves@gmail.com
          Article
          isu700
          10.3233/ISU-130700
          3edf9ec7-1a89-4488-b87b-f3655ae6741a
          © IOS Press and the authors

          This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

          History
          Page count
          Pages: 10
          Custom metadata
          ftp.files.iospress.nl/isu/2013/33-2/headers/isu700.sssh2-xml

          Information & Library science,Communication & Media studies
          spreading activation,adaptive hypertext,experimentation,design,algorithms,connectionism and neural nets,learning,cognitive simulation,general,theory,hypermedia,hypertext,methodology,evaluation,multimedia information systems,search process,retrieval models,information filtering,Information search and retrieval

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